mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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169 lines
15 KiB
JSON
169 lines
15 KiB
JSON
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"title": "Maximum Subarray Sum with One Deletion",
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"content": "<p>Given an array of integers, return the maximum sum for a <strong>non-empty</strong> subarray (contiguous elements) with at most one element deletion. In other words, you want to choose a subarray and optionally delete one element from it so that there is still at least one element left and the sum of the remaining elements is maximum possible.</p>\n\n<p>Note that the subarray needs to be <strong>non-empty</strong> after deleting one element.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> arr = [1,-2,0,3]\n<strong>Output:</strong> 4\n<strong>Explanation: </strong>Because we can choose [1, -2, 0, 3] and drop -2, thus the subarray [1, 0, 3] becomes the maximum value.</pre>\n\n<p><strong>Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> arr = [1,-2,-2,3]\n<strong>Output:</strong> 3\n<strong>Explanation: </strong>We just choose [3] and it's the maximum sum.\n</pre>\n\n<p><strong>Example 3:</strong></p>\n\n<pre>\n<strong>Input:</strong> arr = [-1,-1,-1,-1]\n<strong>Output:</strong> -1\n<strong>Explanation:</strong> The final subarray needs to be non-empty. You can't choose [-1] and delete -1 from it, then get an empty subarray to make the sum equals to 0.\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 <= arr.length <= 10<sup>5</sup></code></li>\n\t<li><code>-10<sup>4</sup> <= arr[i] <= 10<sup>4</sup></code></li>\n</ul>\n",
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"hints": [
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"How to solve this problem if no deletions are allowed ?",
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"Try deleting each element and find the maximum subarray sum to both sides of that element.",
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"To do that efficiently, use the idea of Kadane's algorithm."
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